We used our automatic stratification approach to identify the highest-scoring subset with the most evidence of having higher rates of MJR surgeries than the global average in our dataset.
To correct for multiple hypothesis testing and estimate the statistical significance of the identified anomalous subset, we used parametric bootstrapping to compute the empirical p-value of the subset[1]}.
